Co-evolutionary learning in the N-choice IPD game with PSO algorithm

2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC) Pub Date : 2012-11-01 DOI:10.1109/NaBIC.2012.6402245

Xiaoyang Wang, Huiyou Chang, Yang Yi, Yibin Lin

引用次数: 2

Abstract

A particle swarm optimization (PSO) approach towards the development of strategy co-evolution for multiple choices IPD game is presented. It is demonstrated that, birds can play IPD with multiple choices, and the co-evolutionary behaviors are influenced by social environment.

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基于粒子群算法的n选择IPD博弈的协同进化学习

针对多选择IPD博弈问题，提出了一种基于粒子群优化的策略协同进化方法。结果表明，鸟类可以进行多种选择的IPD游戏，其共同进化行为受社会环境的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)

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